Upp vs Bidnamic
Smart digital marketers use Upp’s powerful AI platform to acquire more customers and hit their targets.
Are you wondering how Upp’s machine learning solution for Google Shopping differs from Bidnamics?
Well, Bidnamic wondered the same, so we thought it’d be a good idea to compare what our similarities and differences are.
For retailers new to Google Shopping, it can be hard to know where to begin, and hard even for the more experienced to know how to improve results too. Standard Shopping or Smart Shopping, what budget should I allocate, what’s a good ROAS target, how do I cost-effectively acquire new customers?
Retailers told us these were their challenges time and time again. So, just like Bidnamic, we both agreed that Google Shopping can be challenging to maximise ROI, and wanted to solve this problem.
Blending SKU level performance data and using technology, we both help clients automatically manage and optimise the performance of their Shopping accounts.
But, this is where the similarities end.
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Where we differ:
Unlike Upp, Bidnamic isn’t a fan of Google’s latest Shopping product, Smart Shopping. They pitch themselves as “better than Smart Shopping”… essentially they’ve chosen to compete with the $1.6 Trillion company, whose other products they rely on. Fair play.
Bidnamic’s machine learning solution automates the bidding strategy behind Standard Shopping to save customers’ time managing this and improve account performance. Effectively they offer the simplicity of Smart Shopping, but with the transparency of Standard Shopping.
However, having audited 100s of retailers’ Google accounts, we’ve seen that Smart Shopping has become the defacto for 90%+ of retailers. Our audit data has also shown that Smart Shopping consistently outperforms Standard Shopping i.e. if you go against Google, you’re going to pay the price.
We, too, understand that not every retailer has the in-house expertise or bandwidth to deeply understand Google Shopping. But that’s why Google created Smart Shopping. We just know that it can be taken a step further, to really maximise your ad budget.
To maximise performance, you need to ensure that you utilise all of the data within your ecosystem such as orders, competitor performance, return volumes, promotions & price points, customer data and more. This will ensure that Google’s Smart Shopping truly understands how to best advertise products, based on business performance and your marketing goals.
Let’s not forget that this is not a one time change, but a moving problem. Only by using technology can you keep pace with today’s ever-changing marketing environment.
That’s why Upp has developed an AI neural network that is capable of identifying pattern opportunities within your data, automatically maximising performance for both Standard and Smart Shopping, whilst still providing full data transparency.
In summary, Bidnamic is an alternative to Google’s latest Smart Shopping, whilst Upp has been designed to align and enhance both Google’s Standard and Smart Shopping.
If you’re now curious how Upp’s machine learning solution can maximise your Google (Smart) Shopping performance automatically, then please get in touch to discuss your free audit today.